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Communication Dans Un Congrès Année : 2020

A multimodal high level video segmentation for content targeted online advertising

Résumé

In this paper we introduce a novel advertisement system, dedicated to multimedia documents broadcasted over the Internet. The proposed approach takes into account the consumer’s perspective and inserts contextual relevant ads at the level of the scenes boundaries, while reducing the degree of intrusiveness. From the methodological point of view, the major contribution of the paper concerns a temporal video segmentation method into scenes based on a multimodal (visual, audio and semantic) fusion of information. The experimental evaluation, carried out on a large dataset with more than 30 video documents validates the proposed methodology with average F1 scores superior to 85%.
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Dates et versions

hal-03113340 , version 1 (18-01-2021)

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Citer

Bogdan Mocanu, Ruxandra Tapu, Titus Zaharia. A multimodal high level video segmentation for content targeted online advertising. ISVC 2020: 15th international symposium on Advances in Visual Computing, Oct 2020, San Diego (virtual), United States. pp.506-517, ⟨10.1007/978-3-030-64559-5_40⟩. ⟨hal-03113340⟩
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